SimpleOpenCLSamples
chipStar
| SimpleOpenCLSamples | chipStar | |
|---|---|---|
| 7 | 4 | |
| 76 | 147 | |
| - | 4.8% | |
| 7.0 | 9.7 | |
| 17 days ago | 7 days ago | |
| C++ | C++ | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SimpleOpenCLSamples
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In the next 5 years, what do you think can push OpenCL adoption?
https://github.com/bashbaug/SimpleOpenCLSamples/tree/main/samples/usm - some USM samples, including several linked list samples.
- OpenCL 3.0.12 Released With Command Buffers Mutable Dispatch Extension and Enhanced Layers Support
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Why are there lack of opencl tutorial?
Selfishly, my own SimpleOpenCLSamples repo: https://github.com/bashbaug/SimpleOpenCLSamples
- Cant get OpenCL to run
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Profiling OpenCL code
We use the OpenCL Intercept Layer extensively. It's open-source, vendor-independent, and cross-platform. I wrote a tutorial to demonstrate common usages, if you want to see what it can do.
- I want to learn OpenCL but don't know where to start
- Any materials or samples on opencl 3.0?
chipStar
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
There is already a work-in-progress implementation of HIP on top of OpenCL https://github.com/CHIP-SPV/chipStar and the Mesa RustiCL folks are quite interested in getting that to run on top of Vulkan.
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Vcc – The Vulkan Clang Compiler
chipStar (formerly CHIP-SPV) might also be worth checking out: https://github.com/CHIP-SPV/chipStar
It compiles CUDA/HIP C++ to SPIR-V that can run on top of OpenCL or Level Zero. (It does require OpenCL's compute flavored SPIR-V, instead of graphics flavored SPIR-V as seen in OpenGL or Vulkan. I also think it requires some OpenCL extensions that are currently exclusive to Intel NEO, but should on paper be coming to Mesa's rusticl implementation too.
- ChipStar: Run CUDA/Hip on SPIR-V via OpenCL/Level Zero
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In the next 5 years, what do you think can push OpenCL adoption?
Regarding the second item (CUDA to OpenCL), have a look at hipstar: https://github.com/CHIP-SPV/hipstar
What are some alternatives?
OpenCL-Guide - A guide to help developers get up and running quickly with the OpenCL programming framework
FluidX3D - The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
OpenCL-Wrapper - OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
Boost.Compute - A C++ GPU Computing Library for OpenCL
Cgml - GPU-targeted vendor-agnostic AI library for Windows, and Mistral model implementation.
opencl-intercept-layer - Intercept Layer for Debugging and Analyzing OpenCL Applications
hipDNN - A thin wrapper around miOpen and cuDNN
nvidia-opencl-examples
llvm - Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.
ArrayFire - ArrayFire: a general purpose GPU library.
OpenCL-Getting-Started - A small "getting started" tutorial for OpenCL. See http://www.eriksmistad.no/getting-started-with-opencl-and-gpu-computing/ for more info